NVIDIA Partners with GE Healthcare and Nuance to Bring AI to Medical Imaging, Upgrading 500,000 Imaging Devices

VCBeat (WeChat ID: vcbeat) has learned, Recently, NVIDIA, a leader in visual computing technology, has partnered with GE Healthcare, a global provider of healthcare solutions, and Nuance, a communications company, to bring artificial intelligence (AI) into the field of medical imaging.

NVIDIA announced the partnership at the annual meeting of the Radiological Society of North America (RSNA). Held in Chicago, this year’s RSNA annual meeting attracted more than 50,000 professionals.

The partnership with GE Healthcare will accelerate the adoption of NVIDIA’s AI computing platform across GE Healthcare’s global installed base of 500,000 imaging devices. The two companies will collaborate to launch the Revolution Frontier CT, powered by NVIDIA technology.

Compared to the previous generation, it offers twice the speed in imaging processing. NVIDIA will also support GE Healthcare’s application intelligence analytics platform to accelerate the creation, deployment, and consumption of deep learning algorithms, meeting the demands of future medical instruments.

NVIDIA’s partnership with Nuance, a provider of intelligent speech and language solutions, aims to make machine learning accessible to radiologists and data scientists across the entire healthcare system.

Nuance has also launched its new AI Marketplace for diagnostic imaging, built on the NVIDIA deep learning platform.

This collaboration will enable radiologists to participate in the development of algorithms, which can then be readily utilized in clinical diagnostics. These algorithms enhance radiologists’ workflow efficiency, assist in the rapid detection and quantification of critical clinical findings, and improve patient care. It is reported that Nuance’s image sharing and reporting solutions are currently adopted by 70% of radiologists.

NVIDIA’s deep learning platform, which encompasses both hardware and software, enables the training of neural networks and their deployment from the cloud to edge devices. This positions NVIDIA with a unique advantage in serving the rapidly growing market for machine learning-driven medical imaging solutions.

NVIDIA is democratizing deep learning through its end-to-end AI computing platform designed specifically for the healthcare community. Healthcare professionals will directly benefit, enabling them to enhance the efficiency of disease screening, diagnosis, and treatment.

Most medical data are derived from images, and image analysis is a highly labor-intensive task for radiologists.According to a study published in the journal Academic Radiology, to meet workload demands, each radiologist must complete a CT or MRI examination report on average every 3–4 seconds during an 8-hour workday. This amounts to more than 8,000 images per day.Deep learning solutions help radiologists rapidly analyze large volumes of images, enabling faster disease diagnosis, improved efficiency, and reduced error rates.

Kimberly Powell, Vice President of Healthcare at NVIDIA, stated that she envisions delivering a unified diagnosis by ensuring the consistency of multiple algorithms through a single test. This vision can be realized by making it easier for healthcare professionals to coordinate the use of multiple systems.

By partnering with leading healthcare organizations such as the American College of Radiology, GE Healthcare, and Nuance, NVIDIA will facilitate the launch of new medical solutions, reshaping the landscape of the healthcare industry.

NVIDIA’s platform is specifically designed for healthcare providers and researchers, delivering the robust performance needed to meet the demands of future smart medical devices. Looking ahead, NVIDIA will prioritize machine intelligence to build smarter hospitals and monitor patient data, thereby assisting radiologists.